Advanced Science and Technology Letters (2014) 49: 222-228.
http://dx.doi.org/10.14257/astl.2014.49.42

The objective of this study is to forecast future rice productivity by region according to an estimated scenario of climate change after drawing an optimized rice productivity estimation model using a neural network technique. This method has never been used in previous studies. First, key antecedent variables are selected from previous studies with regard to climate factors affecting rice productivity. Then, we will investigate the combination of antecedent variables that contribute to the accuracy of estimated models using the neural network model. Finally, the prediction results of future rice productivity are deducted by an optimized neural network model based on a climate scenario.

Forecasting Rice Productivity Using a Neural Network Method: A Global Warming Scenario